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Proceedings Paper

High Discrimination Detection Bound And Model Order Control
Author(s): Ira J. Clarke
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Paper Abstract

It is easily demonstrated by simulation that modern digital signal analysis algorithms, such as 'MUSIC' , have the potential to discriminate (detect) two spectrally similar signal components at up to about two orders of magnitude better resolution than predicted by the long established Rayleigh criterion. The basic questions addressed in the paper are: a) what 'extra information' is utilised by high discrimination algorithms b) what is the detection limit for a 'perfect' algorithm and c) can we design better high discrimination signal extraction and parameter estimation algorithms based on a deeper understanding of the underlying information handling principles? The paper concludes by proposing a stable multi-stage data decomposition procedure in which model order is controlled by directly measuring the 'effective signal to noise ratio' of possible signal components. The technique is relatively efficient, is generally applicable and has the potential to be remarkably robust.

Paper Details

Date Published: 23 February 1988
PDF: 8 pages
Proc. SPIE 0975, Advanced Algorithms and Architectures for Signal Processing III, (23 February 1988); doi: 10.1117/12.948517
Show Author Affiliations
Ira J. Clarke, Royal Signals and Radar Establishment (England)


Published in SPIE Proceedings Vol. 0975:
Advanced Algorithms and Architectures for Signal Processing III
Franklin T. Luk, Editor(s)

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